Ollama
12 published articles
AI Models | NVIDIA Nemotron 3.5 Lightning
Why Nemotron 3.5 Lightning bets most agent steps don't need a big model
Nvidia's new open model runs locally with 3B active parameters and a 1M-token context, built for agents that stay running. Nvidia claims up to 4x throughput and 30% faster task completion than comparable open models.
2026-08-14
Open Source AI
Meta's 30B Muse Glimmer hits Apple Silicon first, NVIDIA support follows
Meta released Muse Glimmer, a 30B open-weights multimodal model built for agent workloads, and Ollama shipped it for Apple Silicon the same day. DFlash makes it 1.5x to 1.8x faster on Mac hardware. NVIDIA and AMD support follow in the coming days.
2026-08-13
Open Source
Meta's 30B Muse Glimmer lands on Apple Silicon today via Ollama's MLX engine
Meta opened the weights for Muse Glimmer, a 30B dense model, and Ollama ships it the same day on Apple Silicon. Local coding agents gain a native backend, with Muse Spark 1.2 teased for later.
2026-08-10
Cloud Bottleneck
Ollama just stopped selling its premium plan because open models are eating its cloud alive
Open model demand doubled Ollama's traffic, then broke its subscription model. A bigger model is coming next week, and Ollama needs headroom.
2026-07-26
Funding round
Ollama raised $88 million to make open models boring. That is the whole point.
Ollama raised $88 million from Benchmark and Docker founder Solomon Hykes to scale its open-model platform, now used by 8.9 million developers and 85% of the Fortune 500. The bet: make local AI ownership as boringly easy as Docker made containers.
2026-07-09
Performance
Gemma 4 runs 90% faster in Ollama 0.31 with a trick that needs no config
Ollama 0.31 introduces multi-token prediction for Gemma 4 on Apple Silicon, achieving near 90% faster token generation on coding benchmarks. The speedup comes from an auto-tuned draft model and a custom MLX kernel that eliminates redundant weight reads.
2026-06-29
Apple Silicon update
Ollama's Mac update just solved the three things that made local AI painful
Ollama's MLX engine update brings NVFP4 quantization for higher quality 4-bit models, 20% faster inference through fused Metal kernels, and a snapshot caching system that eliminates reprocessing of shared context in multi-agent, thinking-model, and branching scenarios.
2026-06-11
Local AI
Ollama 0.30 just made local AI cheaper than cloud inference for more people
Ollama 0.30 boosts NVIDIA inference by up to 20%, enables Vulkan GPU support by default for AMD and Intel devices, and expands GGUF model compatibility, including fine-tuned models from Hugging Face and support for tool-calling with coding agents.
2026-06-05
Open-source framework
Stanford just made local AI agents work, and made the cloud look optional
OpenJarvis 1.0 from Stanford's Hazy Research and Scaling Intelligence labs runs personal AI agents locally via Ollama, with cloud access as an optional add-on. It ships with presets for morning briefings, cross-document research, and local code assistants, all while tracking energy cost and latency beside accuracy.
2026-05-28
Local AI Inference
Ollama rewrote its Apple engine. The M5 results are finally competitive.
Ollama previews MLX-backed inference on Apple silicon, pushing Qwen3.5-35B-A3B to 1,851 tok/s prefill on M5. The shift brings NVFP4 quantization for production parity and a smarter cache for agentic workflows.
2026-03-30
AI Agents
One terminal command now launches a local AI assistant that handles your inbox
With Ollama 0.17, users can now launch a local, open-source AI assistant in one terminal command. OpenClaw manages inboxes, email, and calendar tasks across chat apps.
2026-02-23
AI Agents
Ollama just gave Claude Code a second brain for parallel tasks
Ollama now supports parallel subagents and built-in web search for Claude Code, enabling longer coding sessions with less context noise. The new features work with any Ollama cloud model and require no additional configuration.
2026-02-16